Arman Melkumyan
- Media Technology top 2%
- Artificial Intelligence top 5%
- Mechanics of Materials top 10%
- Mechanical Engineering
- Atmospheric Science
- Co-authors
- Richard J. MurphyAnna ChlingaryanFábio RamosLloyd WindrimYiu‐Wing MaiSven SchneiderEric NettletonDerek A. Wyman
- Topics
- Geochemistry and Geologic Mapping (18 papers)Remote-Sensing Image Classification (17 papers)Mineral Processing and Grinding (13 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image ProcessingExpert Systems with Applications
- Partner nations
- AustraliaArmeniaSwitzerland
In The Last Decade
Arman Melkumyan
46 papers receiving 648 citations
Peers
Comparison fields: 5 of 77
- Media Technology 221
- Artificial Intelligence 204
- Mechanics of Materials 143
- Mechanical Engineering 129
- Atmospheric Science 96
Countries citing papers authored by Arman Melkumyan
This map shows the geographic impact of Arman Melkumyan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arman Melkumyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arman Melkumyan more than expected).
Fields of papers citing papers by Arman Melkumyan
This network shows the impact of papers produced by Arman Melkumyan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arman Melkumyan. The network helps show where Arman Melkumyan may publish in the future.
Co-authorship network of co-authors of Arman Melkumyan
This figure shows the co-authorship network connecting the top 25 collaborators of Arman Melkumyan. A scholar is included among the top collaborators of Arman Melkumyan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arman Melkumyan. Arman Melkumyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 18 | |
| 6 | 17 | |
| 7 | 52 | |
| 8 | 13 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 33 | |
| 14 | A sparse covariance function for exact Gaussian process inference in large datasets | 58 |
| 15 | 4 | |
| 16 | 53 | |
| 17 | 5 | |
| 18 | 49 | |
| 19 | 1 | |
| 20 | 3 |
About Arman Melkumyan
Arman Melkumyan is a scholar working on Media Technology, Analytical Chemistry and Artificial Intelligence, having authored 47 papers that have together received 677 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (18 papers), Remote-Sensing Image Classification (17 papers) and Mineral Processing and Grinding (13 papers). The work is most often cited by research in Media Technology (221 citations), Artificial Intelligence (204 citations) and Mechanics of Materials (143 citations). Arman Melkumyan has collaborated with scholars based in Australia, Armenia and Switzerland. Frequent co-authors include Richard J. Murphy, Anna Chlingaryan, Fábio Ramos, Lloyd Windrim, Yiu‐Wing Mai, Sven Schneider, Eric Nettleton, Derek A. Wyman, Peter Hatherly and Raymond Leung. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Expert Systems with Applications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.